Kirsten Poon

  Kirsten Poon is an artificial intelligence analyst from Edmonton who helps businesses use AI to improve how they work and make better decisions. She focuses on turning complex data into simple, useful information that supports smarter operations. Kirsten Poon explains six ways AI transforms raw data into clear and actionable insights. From cleaning and organizing data to predicting outcomes and improving accuracy, AI helps companies move from information overload to meaningful results. These methods show how technology can turn everyday data into valuable knowledge for better performance and planning. 1. Data Cleaning and Preparation Before insights can be drawn, raw data must be cleaned and structured. AI helps by identifying missing information, removing duplicates, and correcting errors automatically. This ensures that the information being analyzed is accurate and consistent. Proper data preparation saves time and reduces the risk of false conclusions. Machine learning algori...

  Kirsten Poon from Edmonton is an artificial intelligence analyst with experience in helping businesses use AI effectively. She focuses on making technology simple and practical for real business needs. Kirsten Poon shares 7 useful tips to train teams for AI adoption. The goal is to help companies prepare their people, not just their systems, for working with AI tools. From building data skills to encouraging teamwork and continuous learning, these steps make it easier for employees to understand, accept, and use AI confidently in their everyday tasks. 1. Start with Clear Learning Goals Before beginning AI training, it is important to set clear goals. Each team should know what they are learning and why it matters to their role. Training should match the company’s objectives and daily operations. For example, data teams may focus on understanding algorithms, while operations teams may focus on using AI tools for efficiency. Clear goals guide the training process, keep participant...